Skip to main content
. Author manuscript; available in PMC: 2023 Sep 28.
Published in final edited form as: Clin Gerontol. 2022 Oct 8;46(5):759–766. doi: 10.1080/07317115.2022.2130123

Table 2.

GEE Models of online health form data pre-post onset of COVID-19 pandemic restrictions

Parameter Estimate SE Odds ratio (95%) CI p-value
Model 1: Blue mood
Intercept −6.60 3.45 0.06
COVID-19 pandemic (yes/no) 1.48 0.33 4.38 (2.31 – 8.30) <0.01*
Age 0.02 0.05 1.02 (0.93 – 1.12) 0.69
Female vs. male −0.28 0.64 0.76 (0.22 – 2.66) 0.67
Large rural 0.00 0.65 1.00 (0.28 – 3.53) 0.99
Small rural −0.74 0.74 0.48 (0.11 – 2.03) 0.32
Single vs. married 0.55 0.72 1.74 (0.43 – 7.10) 0.44
Model 2: Loneliness
Intercept −11.09 4.21 0.01
COVID-19 pandemic (yes/no) 1.97 0.38 7.17 (3.43 – 14.99) <0.01*
Age 0.07 0.06 1.07 (0.96 – 1.19) 0.24
Female vs. male −0.31 0.85 0.73 (0.14 – 3.85) 0.71
Large rural −0.30 0.84 0.74 (0.14 – 3.89) 0.72
Small rural −0.42 0.90 0.66 (0.11 – 3.85) 0.64
Single vs. married 2.22 0.85 9.17 (1.72 – 48.90) <0.01*
Model 3: Travel away from home
Intercept −1.69 2.08 0.42
COVID-19 pandemic (yes/no) −0.71 0.15 0.49 (0.37 – 0.67) <0.01*
Age −0.02 0.03 0.98 (0.93 – 1.04) 0.53
Female vs. male 0.00 0.37 1.00 (0.48 – 2.07) 1.00
Large rural 1.23 0.39 3.43 (1.60 – 7.34) <0.01*
Small rural 0.47 0.42 1.60 (0.71 – 3.61) 0.26
Single vs. married 0.06 0.44 1.06 (0.44 – 2.52) 0.90
*

p<0.05